Security Scan Report: hatchertechhugo-oks6fkdy8b.edgeone.app

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Submitted: May 19, 2026, 11:33:40 AMCompleted: May 19, 2026, 11:35:56 AMpubliccompleted
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Summary

This website contacted 16 IPs in 3 countries across 13 domains to perform 22 HTTP transactions. The main domain is hatchertechhugo-oks6fkdy8b.edgeone.app and was registered NaN years ago.

Submitted URL: https://hatchertechhugo-oks6fkdy8b.edgeone.app/13860-european-cup-winning-legends-john-mcgovern-and-peter-withe-believe-nottingham-forest-and-aston-villa.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low‑risk informational article; no phishing, credential harvesting, or malware observed.

Risk Factors
High JavaScript obfuscation score (potentially suspicious code style)
Low domain ranking in Cisco Umbrella
Safety Factors
Page type is og:type=article – content is informational, not a login or payment page
No external malicious IoC or IDS alerts detected
No credential exfiltration or cross‑origin form submissions
Domain age information unavailable

Details

Page Title

European Cup-winning legends John McGovern and Peter Withe believe Nottingham Forest and Aston Villa

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain 'hatchertechhugo-oks6fkdy8b.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'hatchertechhugo-oks6fkdy8b'. The second-level label 'edgeone' is 7 characters long holding four vowels versus three consonants. Word splitting yields two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hatchertechhugo-oks6fkdy8b.edgeone.app/13860-european-cup-winning-legends-john-mcgovern-and-peter-withe-believe-nottingham-forest-and-aston-villa.html

Page Load Overview

48.90s
Total Load Time
22
HTTP Requests
13
Domains
1.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:4,354 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.251.14.95United States
AS15169Google LLC
154.192.35.123United States
AS16509Amazon.com, Inc.
1104.20.7.223United States
AS13335Cloudflare, Inc.
1104.26.15.100United States
AS13335Cloudflare, Inc.
1172.240.127.244United States
AS7979Servers.com, Inc.
1172.66.169.241United States
AS13335Cloudflare, Inc.
1142.250.154.94United States
AS15169Google LLC
1104.20.23.96United States
AS13335Cloudflare, Inc.
1172.240.253.132United States
AS7979Servers.com, Inc.
154.39.128.117Beauharnois, Quebec, Canada
AS16276OVH SAS
2216--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE820B27F740642C2A710641A086BBBC762D8037F752CCE135AD736DE6CAAE7187139E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPWQchnYf8zX+Scs/KgDCmC5lxJKJNJ/cd8XpBrRy+5zjZP/XsDvc2YYrWag4MDL:ZWdhnz+HVBqJU3+5VvsDk5YrWag4AL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18448:ByoHIIIRRQihrOgBSbUIDWAwKIHRQXEkYoQHMKFKEzgAACwYGyBECwiCeEpTWkkgQEkltIgKBQ1UDgCEK4oYQhnwAxgmFRoA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffc3818181c3ffff
Perceptual Hash:ed6d929238963c69
Difference Hash:c013333333333e02
Wavelet Hash:ff8181818181cfff
Color Hash:#67862d

Scan History

Scan history not available

Unable to load historical scan data